3_visualization
For more details of the commands, use -h option to see the usage.
LiCSBAS_disp_img.py -i image_file -p par_file [-c cmap] [--cmin float]
[--cmax float] [--auto_crange float] [--cycle float] [--nodata float]
[--bigendian] [--png pngname] [--kmz kmzname]
-i Input image file in float32 or uint8
-p Parameter file containing width and length (e.g., EQA.dem_par or mli.par)
-c Colormap name (see below for available colormap)
- https://matplotlib.org/tutorials/colors/colormaps.html
- http://www.fabiocrameri.ch/colourmaps.php
- insar
(Default: SCM.roma_r, reverse of SCM.roma)
--cmin|cmax Min|max values of color (Default: None (auto))
--auto_crange % of color range used for automatic determination (Default: 99)
--cycle Value*2pi/cycle only if cyclic cmap (i.e., insar or SCM.*O*)
(Default: 3 (6pi/cycle))
--nodata Nodata value (Default: 0)
--bigendian If input file is in big endian
--png Save png (pdf etc also available) instead of displaying
--kmz Save kmz (need EQA.dem_par for -p option)
This script displays an image file.
LiCSBAS_plot_ts.py [-i cum[_filt].h5] [--i2 cum*.h5] [-m yyyymmdd] [-d results_dir]
[-u U.geo] [-r x1:x2/y1:y2] [--ref_geo lon1/lon2/lat1/lat2] [-p x/y]
[--p_geo lon/lat] [-c cmap] [--nomask] [--vmin float] [--vmax float]
[--auto_crange float] [--dmin float] [--dmax float] [--ylen float]
[--ts_png pngfile]
-i Input cum hdf5 file (Default: ./cum_filt.h5 or ./cum.h5)
--i2 Input 2nd cum hdf5 file
(Default: cum.h5 if -i cum_filt.h5, otherwise none)
-m Reference (master) date for time series (Default: first date)
-d Directory containing noise indices (e.g., mask, coh_avg, etc.)
(Default: "results" at the same dir as cum[_filt].h5)
-u Input U.geo file to show incidence angle (Default: ../GEOCml*/U.geo)
-r Initial reference area (Default: same as info/*ref.txt)
0 for x2/y2 means all. (i.e., 0:0/0:0 means whole area).
--ref_geo Initial reference area in geographical coordinates.
-p Initial selected point for time series plot (Default: ref point)
--p_geo Initial selected point in geographical coordinates.
-c Color map for velocity and cumulative displacement
- https://matplotlib.org/tutorials/colors/colormaps.html
- http://www.fabiocrameri.ch/colourmaps.php
(Default: SCM.roma_r, reverse of SCM.roma)
--nomask Not use mask (Default: use mask)
--vmin|vmax Min|max values of color for velocity map (Default: auto)
--dmin|dmax Min|max values of color for cumulative displacement map
(Default: auto)
--auto_crange Percentage of color range used for automatic determination
(Default: 99 %)
--ylen Y Length of time series plot in mm (Default: auto)
--ts_png Output png file of time series plot (not display interactive viewers)
This script displays the velocity, cumulative displacement, and noise indices, and plots the time series of displacement. You can interactively change the displayed image/area and select a point for the time series plot. The reference area can also be changed by right dragging.
Demonstration Video (High resolution mp4, 20MB)
LiCSBAS_profile.py -i infile -p dempar [-r x1,y1/x2,y2] [-g lon1,lat1/lon2,lat2] [-o outfile] [--bigendian] [--nodisplay]
-i Input file (float, little endian)
-p Dem parameter file (EQA.dem_par)
-r Point locations in xy coordinates
-g Point locations in geographical coordinates
-o Output text file (Default: profile.txt)
Format: lat lon x y distance value (x/y start from 0)
--bigendian If input file is in big endian
--nodisplay Not display quick look images
Note: either -r or -g must be specified.
This script gets a profile data between two points specified in geographical coordinates or xy coordinates from a float file. A quick look image is displayed and a text file and kml file are output.
LiCSBAS_plot_network.py -i ifg_list -b bperp_list [-o outpngfile] [-r bad_ifg_list] [--not_plot_bad]
-i Text file of ifg list (format: yyymmdd_yyyymmdd)
-b Text file of bperp list (format: yyyymmdd yyyymmdd bperp dt)
-o Output image file (Default: netowrk.png)
Available file formats: png, ps, pdf, or svg
(see manual for matplotlib.pyplot.savefig)
-r Text file of bad ifg list to be plotted with red lines (format: yyymmdd_yyyymmdd)
--not_plot_bad Not plot bad ifgs with red lines
This script creates a png file (or in other formats) of SB network. A Gap of the network are denoted by a black vertical line if a gap exist. Bad ifgs can be denoted by red lines.
